MouseComputer K7-i7TGLABW11
Geekbench AI Score
1492
Single Precision Score
1500
Half Precision Score
996
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 25 2024 10:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MouseComputer K7-i7TGLABW11 |
| Motherboard | MouseComputer NP70HH |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
603
112.1 IPS |
|
|
Image Classification (HP)
|
100% |
601
111.7 IPS |
|
|
Image Classification (Q)
|
100% |
511
95.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
953
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
719
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4658
5.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5114
5.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
3212
3.76 IPS |
|
|
Object Detection (SP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (HP)
|
98% |
590
47.0 IPS |
|
|
Object Detection (Q)
|
89% |
583
46.7 IPS |
|
|
Face Detection (SP)
|
100% |
1323
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
1403
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
938
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2782
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2975
23.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
2010
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9935
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13319
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7462
9.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1610
59.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2310
85.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
869
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
392
523.2 IPS |
|
|
Text Classification (Q)
|
97% |
394
527.7 IPS |
|
|
Machine Translation (SP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (Q)
|
60% |
291
6.49 IPS |
